Analytics and Reports in IZI

Analytics and Reports in IZI

IZI analytics gives a club owner a complete, real-time picture of the business: 30+ reports covering revenue, the client base, hall utilization, staff activity, and tariff performance — without manual Excel exports or pivot tables. Key metrics (ARPU, load, client retention) update live from the moment the club goes live. CSV export is available on most reports for those who need a summary table or integration with external tools.

What Reports Are Available in IZI

The Analytics section of the CRM is organized by group — each covering a specific area of club management.

IZI has one built-in staff role — Administrator — plus custom roles the owner creates with any name and permission set they choose. The “For Whom” column below describes the staff profile that typically needs each report; if you want a team member to access it, create a custom role with the relevant permissions.

Report Group	What’s Inside	Typical staff profile
Key Metrics (KPI)	Revenue, ARPU, load, average check, new and returning clients — in one screen	Owner; custom role with org-level analytics access
24h Analytics	Hourly breakdown for any given day: sessions, revenue, load over time	Administrator; custom role with club-level analytics access
Product Report	F&B sales, stock movements, balances, receipts and write-offs	Custom role with warehouse/F&B permissions
Tariff Sales	Number of sales and revenue per tariff for the period	Owner; custom role with sales analytics access
Bonus Report	Bonus accruals and redemptions, per-client transactions, tags	Custom role with bonus/marketing analytics access
Client Report	Clients, revenue, retention (cohorts), tariffs and zones	Owner; custom role with client analytics access
Shift Report	Revenue and operations per shift, cash desk	Custom role with shift/finance permissions
Session Report	Session metrics, load heatmap, load by device	Custom role with session analytics access
Suspicious Activity	Anomalies in operations, breakdown by staff, tech mode	Owner; custom role with full org-level access
Promo Code Report	Promo code usage, summary and detail per code	Custom role with marketing analytics access
Price Simulator	Modeling tariff changes on historical data	Owner

Club KPIs: What to Track

The Key Metrics section is the primary entry point for an owner. Each metric answers a specific question about business health.

Revenue for the period — the baseline metric, shows the trend. Comparing with the previous identical period (week-over-week, month-over-month) reveals direction without seasonal noise. A sharp drop without external causes is a signal to dig into operational data.

ARPU (Average Revenue Per User) — average revenue per paying client in a period. Formula: total revenue ÷ number of unique paying clients. If revenue grows but ARPU falls, the club is attracting more clients who spend less. These are different problems: ARPU growth is addressed through pricing and bonuses, client base growth through traffic and marketing.

Hall load — the share of operating time when seats are occupied. Visible by hour in 24h Analytics and on the heatmap in Session Report. Load gaps are the most direct way to find hours where a discount mechanic or event programming makes sense.

Repeat visits (Retention) — what percentage of clients returned the following month after their first visit. This is a product quality signal: if retention is below typical for your region and club type, fix the client experience before doubling down on marketing.

Average spend per session (AOV) — the average amount a client spends per visit (including bar and other purchases). It grows through tariff and F&B upsell and loyalty programs. Breakdown is in Client Report → Revenue.

LTV (Lifetime Value) — the estimated cumulative value of a client over their entire time at the club. In IZI it is calculated through cohort analysis: for each cohort (first-visit month), revenue accumulates month by month, and the curve shows how quickly acquisition costs pay back.

Cohort Client Reports

Cohort analysis is a tool for understanding how clients behave over time, not just at a snapshot.

The principle: clients are grouped by first-visit month (cohort). For each cohort, the percentage that returned one month later, two months later, three months later is calculated. The result is a matrix where rows are cohorts and columns are the ordinal month of club life.

The Client Report → Retention section in IZI builds this matrix automatically.

What you can read from a cohort report:

• If the first column after the entry month is consistently higher in recent cohorts — an experience improvement or product change is working.
• If one month is a sharp outlier — look at operational events in that period (relocation, staff change, new competitor).
• If retention consistently drops from month 3 onward — the loyalty program or regularity of activities needs attention.
• If older cohorts (6–12 months ago) retain better than new ones — audience quality has shifted; check acquisition sources.

Cohort analysis does not show the cause — it shows where to look. Once an anomaly in a cohort is found, go to the detailed session and client reports for that same period.

Suspicious Activity and Staff Control

The Suspicious Activity section is a tool for owners who want to monitor operations without being physically present in the club.

IZI automatically flags operations that fall outside normal patterns:

Employees — breakdown of anomalous operations by staff member. Shows who has an atypical number of balance operations, refunds, or tech-mode sessions. Not an accusation tool — a starting point for a conversation with a specific person.

Balance Operations — a detailed log of top-ups and deductions with suspicious patterns: top-ups without subsequent sessions, unusually large one-time operations, repeating amounts.

Device Analysis — PC-level statistics: atypical operating hours, operations on devices without active sessions.

Tech Mode Log — every tech-mode entry with the staff member, time, and duration recorded. Tech mode is a standard service tool, but abuse results in zero revenue from a seat while it is occupied.

The tab structure lets an owner review flags in 2–3 minutes a day without digging into every individual transaction.

Price Simulator

The Price Simulator is a section for testing pricing without risk. Before raising or changing a tariff in the live price list, you can see how it would affect revenue using your club’s actual history.

How it works: you enter a hypothetical price for one or more tariffs. The simulator takes historical sessions (your real sales for the selected period) and recalculates revenue at the new price. The output is a delta: how much more or less revenue you would have earned if that price had been in effect then.

Use cases:

• Assess whether it is worth raising the price of a late-night tariff.
• Compare two pricing scenarios for the same hall.
• Understand how price-sensitive the audience is — if a tariff cost X% more, would revenue increase or would session volume drop enough to cancel it out.
• Build a data-backed case for a manager or investor: not “seems like we should raise it” but a calculation from real club data.

The simulator works on historical data — it does not forecast future client behavior after a price change; it shows the mechanical revenue delta. It is a reference point, not a precise prediction.

Network Analytics for Multi-Club Owners

For owners with multiple clubs (franchise, chain), IZI provides analytics at the organization level.

Switching between clubs — all analytics sections respond to the club switcher in the CRM header. The same report (KPI, heatmap, etc.) opens for any club in the network without switching accounts.

Client Report at the organization level lets you view the client base that visits multiple clubs — without double-counting. A client who visits two clubs in the network counts as one unique client for the organization.

Tariff Sales at the organization level provides a network-wide summary of the product portfolio: which tariffs sell best across the network, not just in a single club.

Practical routine for a network owner: at the start of each week, open the KPI for each club and compare load and ARPU. The club where both are below average is the priority for investigation. A club with high load but low ARPU is an opportunity for pricing optimization or upsell.

For deeper cross-club comparison (side-by-side in one table), use export: download the same report for each club and combine in a summary spreadsheet. This is a manual process — network comparison dashboards with consolidated single-screen views are on the roadmap.

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Related: What is IZI · Top-Up Bonuses · Client Base · Tariffs and Pricing · Loyalty Program · Bar and Warehouse

See Also

• Top-Up Bonuses in a Gaming Club — Owner’s Guide
• Client Base: Segmentation and Audience Management
• Tariffs and Pricing in IZI
• Loyalty Program and Client Retention
• What is IZI — Platform Overview for Gaming Clubs